A Market-if-touched Order GTC is a trigger-based trading instruction that waits for a favorable price level and then turns into a market order, while staying active until it is executed or canceled. In plain English, it lets a trader say, “If price reaches my target, trade for me at the best available price,” even if that happens days or weeks later. It is useful for planned entries and exits, but it comes with one critical trade-off: you can control the trigger level, not the final execution price.

1. Term Overview

• Official Term: Market-if-touched Order GTC
• Common Synonyms: MIT order GTC, GTC MIT order, market if touched order good-til-canceled
• Alternate Spellings / Variants: Market if touched Order GTC, Market-if-touched-Order-GTC
• Domain / Subdomain: Markets / Order Instructions and Validity
• One-line definition: A Market-if-touched Order GTC is an order that becomes a market order when a specified trigger price is touched, and remains active until executed, canceled, or expired under broker rules.
• Plain-English definition: You choose a price that you want the market to reach first; if it gets there, your order goes live as a market order, and it stays waiting until that happens unless you cancel it.
• Why this term matters: It combines two important trading decisions: 1. How the order is triggered: market-if-touched 2. How long it remains active: good-til-canceled

A trader who misunderstands either part can get a very different result than expected.

2. Core Meaning

What it is

A Market-if-touched (MIT) order is a conditional order. It sits inactive until the market reaches a specified trigger price. Once triggered, it becomes a market order, meaning it seeks immediate execution at the best available price.

Adding GTC means the order does not expire at the end of the trading day. It remains open across sessions until one of the following happens:

• it is executed,
• you cancel it,
• your broker cancels it,
• or it expires under platform rules.

Why it exists

Some traders do not want to buy or sell immediately. They want the market to move to a more favorable price first.

Typical examples:

• Buy MIT: “Buy only if the price drops to my target.”
• Sell MIT: “Sell only if the price rises to my target.”

What problem it solves

It solves the problem of not being able to watch the market continuously while still wanting to act at a chosen price level.

It also helps traders express this intent:

• “I want the trade if price comes to me.”
• “Once that price is reached, getting filled matters more than holding a strict limit.”

Who uses it

Relevant users include:

• retail traders,
• active investors,
• wealth managers,
• institutional execution desks,
• derivatives traders,
• some treasury and risk-management desks.

Where it appears in practice

You may encounter it in:

• brokerage order tickets,
• professional OMS/EMS platforms,
• futures and options systems,
• some forex and CFD platforms,
• broker documentation on order types and time-in-force.

Important: Not all brokers or exchanges support MIT orders natively, and some may simulate them on their own systems.

3. Detailed Definition

Formal definition

A Market-if-touched Order GTC is a standing order instruction under which a buy or sell order becomes a market order when a specified trigger price is touched or better, and remains active until executed, canceled, or otherwise removed according to broker, venue, or regulatory rules.

Technical definition

Technically, the order has two layers:

1. Trigger logic – The order is dormant until a trigger condition is met. – For a buy MIT, the trigger is usually at or below the current market. – For a sell MIT, the trigger is usually at or above the current market.

2. Time-in-force – The order remains working beyond the current session under GTC handling rules.

Once triggered, the order becomes a market order, which means:

• it is submitted for immediate execution,
• it will seek available liquidity,
• and the final fill price may differ from the trigger price.

Operational definition

Operationally, a Market-if-touched Order GTC works like this:

1. You enter the order side, quantity, trigger price, and GTC duration.
2. The order remains inactive.
3. The market reaches the trigger level.
4. The order activates.
5. It converts to a market order.
6. It executes at the best available price levels in the market.
7. If not fully filled immediately, handling depends on the instrument, venue, and market conditions.

Context-specific definitions

Equities and ETFs

Usually used for planned entries on pullbacks or exits on rallies. Trigger source may be based on:

• last traded price,
• bid,
• ask,
• or another broker-defined reference.

Options and futures

Used similarly, but trigger behavior can vary more by platform. Some systems may allow:

• trigger on the contract itself,
• trigger on the underlying asset,
• or trigger based on mark price.

Forex and CFDs

“Market if touched” is often common language. In these products, platform rules matter heavily, especially around:

• overnight trading,
• weekend gaps,
• reference pricing,
• and internal dealing desk logic.

Geography-specific note

The concept is broadly understood internationally, but the exact label, support level, and implementation differ by broker and market. In some regions, investors may see related features under other names rather than a standard “MIT GTC” order ticket.

4. Etymology / Origin / Historical Background

Origin of the term

The phrase breaks naturally into parts:

• Market: once triggered, the order becomes a market order.
• If touched: activation occurs if the market touches a specified price.
• GTC: good-til-canceled, meaning the order persists until removed or executed.

Historical development

In older floor-based markets, traders often gave brokers conditional instructions verbally. As markets became electronic, those instructions were formalized into order types.

The need for MIT orders arose from a simple trading need:

• not only to react to adverse moves with stop orders,
• but also to react to favorable moves with trigger-based entries or exits.

How usage changed over time

Over time:

• electronic platforms made trigger orders easier to automate,
• retail brokers expanded order menus,
• institutional systems added more granular trigger settings,
• and regulators increased focus on order handling transparency.

Important milestones

While exact timelines differ by market, the key milestones were:

1. Floor-trading conditional instructions
2. Electronic order-management systems
3. Retail online platforms
4. Broker-side simulation of advanced orders
5. Greater emphasis on disclosure, best execution, and system controls

Today, MIT orders remain less universal than plain market, limit, or stop orders, but the concept is well established in market microstructure.

5. Conceptual Breakdown

A Market-if-touched Order GTC has several important components.

1. Trigger Price

• Meaning: The price that activates the order.
• Role: It determines when the dormant order becomes live.
• Interaction: It works with order side and market reference source.
• Practical importance: A poorly chosen trigger can create unnecessary execution or missed opportunity.

2. Order Side: Buy or Sell

• Meaning: Whether you want to purchase or sell the instrument.
• Role: It determines whether the trigger is usually below or above current market.
• Interaction: Side changes the logic completely.
• Practical importance:
• Buy MIT is generally used below the current market.
• Sell MIT is generally used above the current market.

3. “If Touched” Logic

• Meaning: The order activates when price reaches the trigger.
• Role: It defines the condition for activation.
• Interaction: Depends on whether “touched” means last trade, bid, ask, or mark price.
• Practical importance: Two brokers can treat the same trigger differently.

4. Market Conversion

• Meaning: Once triggered, the order becomes a market order.
• Role: It prioritizes execution over price precision.
• Interaction: Works directly with available market liquidity.
• Practical importance: This is the main source of slippage risk.

5. GTC Time-in-Force

• Meaning: The order stays active beyond the current day.
• Role: It allows longer-term waiting for the trigger.
• Interaction: Combines with review discipline and broker expiration rules.
• Practical importance: Useful for multi-day plans, but dangerous if forgotten.

6. Trigger Source

• Meaning: The reference used to determine whether price was touched.
• Role: It controls activation behavior.
• Interaction: Affects whether the order triggers in fast or wide-spread markets.
• Practical importance: Ask-triggered, bid-triggered, and last-sale-triggered orders can behave differently.

7. Venue or Broker Handling

• Meaning: How the platform stores and processes the order.
• Role: Determines whether the order is native to the venue or simulated by the broker.
• Interaction: Impacts reliability, after-hours behavior, and disclosure.
• Practical importance: If the order is broker-simulated, system outages or policy rules matter more.

8. Execution Quality

• Meaning: How close your fill is to the trigger and how efficiently the order is completed.
• Role: Measures real-world performance.
• Interaction: Depends on liquidity, volatility, spreads, and order size.
• Practical importance: Triggering correctly is not the same as executing well.

6. Related Terms and Distinctions

Related Term	Relationship to Main Term	Key Difference	Common Confusion
Market Order	Same final execution style after trigger	A market order executes immediately; MIT waits for a trigger first	People think MIT guarantees the trigger price because it starts as a conditional order
Limit Order	Alternative execution instruction	Limit sets a maximum buy price or minimum sell price; MIT becomes market after trigger	Traders confuse “target price” with “guaranteed fill price”
Stop Order	Closely related trigger order	Stop orders usually trigger on adverse movement; MIT usually triggers on favorable movement	MIT is often called “the opposite of a stop”
Stop-Limit Order	Hybrid trigger-plus-price-protection order	Stop-limit adds a limit price after trigger; MIT does not	Traders wanting protection after trigger often choose MIT by mistake
Limit-if-Touched (LIT)	Closest cousin to MIT	LIT becomes a limit order when touched; MIT becomes a market order	LIT is better when price protection matters more than certainty of fill
Day MIT Order	Same order type, different duration	Day MIT expires at end of session; GTC MIT can remain active across sessions	“MIT” and “MIT GTC” are not identical because time-in-force changes behavior
Good-Till-Triggered (GTT)	Similar-looking platform feature	GTT often describes a broker-side persistence framework, not necessarily a true MIT order	Many users assume GTT and GTC mean the same thing
Take-Profit Order	Informal functional cousin	Some platforms use take-profit language for favorable trigger exits; mechanics may differ	Not every take-profit order is a true MIT
Trailing Stop	Dynamic trigger order	Trailing stop moves with price; MIT trigger is fixed unless manually changed	Both are conditional, but trailing logic is different
Stop-Loss Order	Risk-control order	Stop-loss aims to protect against adverse movement; MIT aims to act on favorable movement	New traders often mix up the direction of the trigger

Most commonly confused terms

MIT vs Stop Order

• MIT: Triggered by a favorable move.
• Stop: Triggered by an unfavorable move or a breakout entry.

MIT vs Limit Order

• MIT: Trigger controls activation; price is not guaranteed after activation.
• Limit: Execution price is controlled; fill is not guaranteed.

MIT vs LIT

• MIT: Higher probability of execution after trigger.
• LIT: Better price control after trigger.

7. Where It Is Used

Finance and stock markets

This is primarily a trading and market microstructure term. It appears in:

• stocks,
• ETFs,
• options,
• futures,
• some forex platforms,
• some OTC trading environments.

Investing and portfolio management

Investors use it to:

• enter on pullbacks,
• exit on rallies,
• automate portfolio actions,
• reduce the need for constant monitoring.

Brokerage operations and trading technology

It appears in:

• broker order-entry systems,
• order management systems,
• execution management systems,
• smart order routing logic,
• compliance monitoring.

Policy and regulation

It matters because regulators and brokers care about:

• clear order-type disclosures,
• customer understanding,
• best execution,
• stale order risk,
• handling of GTC orders during corporate actions.

Analytics and research

Execution analysts may study:

• trigger behavior,
• slippage,
• fill quality,
• order aging,
• suitability of MIT versus alternative orders.

Accounting, economics, and standard financial reporting

This term is not materially used as an accounting or macroeconomic concept. Its relevance is operational and execution-related, not measurement- or reporting-based.

8. Use Cases

Title	Who is using it	Objective	How the term is applied	Expected outcome	Risks / Limitations
Buy the Dip	Retail investor	Enter only if price pulls back to a desired level	Places a buy MIT GTC below current market	Position opens only if the dip occurs	Trigger may lead to a worse fill than expected in a fast drop
Sell Into Strength	Long investor or wealth manager	Exit or trim on a rally	Places a sell MIT GTC above current market	Shares are sold when target area is reached	Gap-through or thin liquidity may cause slippage
Cover a Short on a Decline	Short seller	Take profit if price falls	Places a buy MIT GTC below current price	Position is covered when market moves favorably	In volatile names, fill may bounce away quickly
ETF Rebalancing	Portfolio manager	Add or reduce exposure at a preferred level without watching the screen	Uses MIT GTC on liquid ETFs	Automated participation at a target zone	Old orders can become stale if market view changes
Options or Futures Profit-Taking	Derivatives trader	Exit when the contract or underlying reaches a planned level	Uses MIT GTC if execution is more important than exact limit price	Faster exit once trigger is hit	Wide spreads and rapid repricing can distort fills
Multi-Day Trading Automation	Busy professional trader	Leave standing instructions across sessions	Uses GTC rather than day-only validity	Trade remains active until canceled or filled	Forgotten orders can trigger later under very different conditions

9. Real-World Scenarios

A. Beginner Scenario

• Background: A new investor is watching a stock trading at 100.
• Problem: She wants to buy, but only if it pulls back to 96. She cannot monitor the market all day.
• Application of the term: She enters a buy Market-if-touched Order GTC at 96.
• Decision taken: She allows the order to stay open for several days.
• Result: Three days later, the stock trades down to 96 and the order becomes a market order. It fills at 96.08.
• Lesson learned: The trigger was reached as planned, but the fill price was not exactly 96 because market orders execute at available prices.

B. Business Scenario

• Background: A wealth advisory firm wants to trim an ETF position if the market rallies back to a target level.
• Problem: The desk manages many portfolios and does not want to manually watch one price all day.
• Application of the term: The trader enters a sell MIT GTC above the current market.
• Decision taken: The desk sets a review reminder every week to check whether the order still matches the investment view.
• Result: The ETF touches the target on normal volume and the sell order executes with minimal slippage.
• Lesson learned: MIT GTC can be efficient in liquid instruments if the desk has a review process.

C. Investor / Market Scenario

• Background: An active trader is long a stock from 84 and plans to exit part of the position on a rebound to 92.
• Problem: He wants execution if the rally happens quickly, even if he cannot capture exactly 92.
• Application of the term: He places a sell MIT GTC at 92.
• Decision taken: He chooses MIT instead of a limit order because getting out matters more than demanding 92.00 or better.
• Result: A fast rally reaches 92, the order triggers, and the trade fills around 91.88.
• Lesson learned: MIT favors execution certainty after trigger, not price precision.

D. Policy / Government / Regulatory Scenario

• Background: A broker-dealer carries many customer GTC orders, including MIT orders, in a stock scheduled for a corporate action.
• Problem: A split or merger could make old trigger levels misleading or invalid.
• Application of the term: The firm reviews its handling of GTC MIT orders under its order management and customer disclosure policies.
• Decision taken: It cancels or adjusts orders according to firm policy and notifies customers to re-enter instructions where necessary.
• Result: Fewer erroneous executions and fewer customer complaints.
• Lesson learned: GTC orders require supervision, especially around corporate actions and changes in trading conditions.

E. Advanced Professional Scenario

• Background: A derivatives desk wants to unwind part of a hedge if the underlying futures contract rallies into a target zone overnight.
• Problem: The desk wants fast execution on touch, but overnight liquidity is thinner than during regular hours.
• Application of the term: It considers a sell MIT GTC, but also compares it with a limit-if-touched or time-based execution strategy.
• Decision taken: The desk uses MIT only during liquid hours and shifts to a more price-protected method near event risk.
• Result: It avoids a poor market-order fill during a volatile overnight move.
• Lesson learned: Professional use of MIT GTC depends heavily on liquidity, venue structure, and event timing.

10. Worked Examples

Simple conceptual example

• Current stock price: 100
• Trader wants to buy only if the stock dips
• Trigger chosen: 96
• Order entered: Buy MIT GTC at 96

What happens?

• If price never reaches 96, nothing happens.
• If price touches 96, the order becomes a market order.
• The trader may get filled at 96, 96.05, 95.98, or another available price depending on the order book.

Practical business example

A portfolio manager wants to reduce a position in a liquid ETF if it rallies back to 250.

• Current ETF price: 244
• Position size: 5,000 units
• Plan: Sell on rally if price recovers to 250
• Order: Sell MIT GTC at 250

Why MIT instead of a limit?

• The manager values exit execution once the recovery happens.
• The ETF is liquid, so expected slippage is small in normal market conditions.
• The desk still reviews the order before major events.

Numerical example

A trader places a buy MIT GTC for 500 shares.

• Current price: 100
• Trigger price: 96
• Market touches 96
• After triggering, available offers are:
• 200 shares at 96.05
• 200 shares at 96.12
• 100 shares at 96.20

Step 1: Compute total cost

• 200 × 96.05 = 19,210
• 200 × 96.12 = 19,224
• 100 × 96.20 = 9,620

Total cost = 48,054

Step 2: Compute average fill price

Average fill price:

[ \text{Average Fill Price} = \frac{48,054}{500} = 96.108 ]

Step 3: Compute slippage versus trigger

For a buy MIT:

[ \text{Slippage per share} = \text{Average Fill Price} – \text{Trigger Price} ]

[ = 96.108 – 96.000 = 0.108 ]

Step 4: Compute total slippage cost

[ \text{Total Slippage Cost} = 0.108 \times 500 = 54 ]

Interpretation: The order behaved correctly, but the trader effectively paid 54 more than the trigger-level ideal.

Advanced example

A trader places a sell MIT GTC for 1,000 shares at 108.

• Current price: 103
• Overnight positive news hits
• The next day the stock opens above the trigger
• Best bids after activation are:
• 400 shares at 107.90
• 600 shares at 107.72

Step 1: Total proceeds

• 400 × 107.90 = 43,160
• 600 × 107.72 = 64,632

Total proceeds = 107,792

Step 2: Average fill price

[ \text{Average Fill Price} = \frac{107,792}{1,000} = 107.792 ]

Step 3: Sell-side slippage

For a sell MIT:

[ \text{Slippage per share} = \text{Trigger Price} – \text{Average Fill Price} ]

[ = 108.000 – 107.792 = 0.208 ]

Step 4: Total slippage

[ 0.208 \times 1,000 = 208 ]

Interpretation: The order triggered on favorable price movement, but the actual sale still happened below the trigger due to market-order mechanics.

11. Formula / Model / Methodology

There is no single universal valuation formula for a Market-if-touched Order GTC. The key analytical method is to evaluate:

1. trigger logic,
2. average execution price,
3. slippage,
4. order aging and suitability.

Formula 1: Trigger Logic

For a simplified interpretation:

• Buy MIT triggers when market price ≤ trigger price
• Sell MIT triggers when market price ≥ trigger price

Where:

• market price = the broker’s chosen trigger source
• trigger price = your activation level

Important: In practice, “market price” may mean last trade, bid, ask, or mark.

Formula 2: Average Fill Price

[ \text{Average Fill Price} = \frac{\sum (q_i \times p_i)}{\sum q_i} ]

Where:

• (q_i) = quantity filled at price level (i)
• (p_i) = price at level (i)

Formula 3: Buy-Side Slippage

[ \text{Buy Slippage per Share} = \text{Average Fill Price} – \text{Trigger Price} ]

• Positive value = worse than trigger
• Negative value = better than trigger

Formula 4: Sell-Side Slippage

[ \text{Sell Slippage per Share} = \text{Trigger Price} – \text{Average Fill Price} ]

• Positive value = worse than trigger
• Negative value = better than trigger

Formula 5: Total Slippage Cost

[ \text{Total Slippage Cost} = \text{Slippage per Share} \times \text{Total Quantity} ]

Sample calculation

Using the earlier buy example:

• Trigger = 96
• Average fill = 96.108
• Quantity = 500

[ \text{Slippage per Share} = 96.108 – 96 = 0.108 ]

[ \text{Total Slippage Cost} = 0.108 \times 500 = 54 ]

Interpretation

These formulas do not tell you whether an MIT should be used. They tell you how well it performed after use.

Common mistakes

• Using the trigger price as if it were the guaranteed execution price
• Ignoring partial fills
• Measuring slippage against the wrong reference price
• Forgetting that different trigger sources can change whether activation even occurred

Limitations

• These formulas are descriptive, not predictive
• They do not capture opportunity cost if the order never triggers
• They do not fully account for fast-moving or fragmented markets
• They depend on correct identification of the broker’s trigger rules

12. Algorithms / Analytical Patterns / Decision Logic

1. Order Selection Framework

What it is: A simple decision tree for choosing MIT versus other orders.

Why it matters: Many order mistakes come from using the right price idea with the wrong order type.

When to use it: Before entering any trigger-based order.

Decision logic:

1. Do you want to act only if price reaches a specific level? – If no, MIT is not needed.
2. Is the trigger based on a favorable move? – If yes, MIT or LIT may fit. – If no, consider stop or stop-limit.
3. After trigger, do you prioritize execution? – If yes, MIT may fit.
4. After trigger, do you prioritize price protection? – If yes, LIT or stop-limit may fit better.

Limitations: This does not replace liquidity analysis.

2. Trigger Placement Framework

What it is: A method for choosing the trigger level.

Why it matters: A good MIT order can still be poorly designed if the trigger is arbitrary.

When to use it: When deciding where to place the touch price.

Common inputs:

• support or resistance zones,
• average true range,
• volume profile,
• bid-ask spread,
• event calendar,
• time horizon.

Limitations: Technical levels can fail suddenly around news.

3. GTC Review Workflow

What it is: A discipline for rechecking standing orders.

Why it matters: GTC orders become dangerous when the original thesis changes.

When to use it: For every order left open across sessions.

Suggested workflow:

1. Record why the order was entered.
2. Review at a fixed schedule.
3. Recheck before earnings, macro events, or corporate actions.
4. Cancel if thesis, liquidity, or market regime changes.
5. Confirm broker expiration rules.

Limitations: Review discipline is operational, not automatic.

4. Basic Trigger Pseudocode

If side = BUY and trigger_source <= trigger_price:
    submit market order

If side = SELL and trigger_source >= trigger_price:
    submit market order

Why it matters: It shows the core engine behind MIT logic.

Limitation: Real systems may include session rules, price bands, risk checks, and venue-specific conditions.

13. Regulatory / Government / Policy Context

This term is primarily governed by broker, exchange, and market-structure rules, not by a special standalone law dedicated only to MIT GTC orders.

United States

Relevant themes typically include:

• SEC market structure and customer order handling rules
• FINRA supervision and communication standards
• exchange order-type availability
• broker best execution obligations
• order handling disclosures

Practical points:

• Not every broker offers MIT orders.
• A broker may hold the order internally rather than send it to an exchange until triggered.
• GTC orders may be canceled or adjusted under firm policy after corporate actions, symbol changes, account restrictions, or a maximum age period.
• Investors should verify whether the trigger is based on last sale, bid, ask, or another price source.

India

MIT under that exact label may not be universally available in retail market interfaces.

Practical points:

• Order-type availability can differ across exchanges, brokers, and product segments.
• Some platforms may instead offer related trigger-based or “good till triggered” features, which are not always identical to a classic MIT GTC order.
• Investors should verify:
• whether the feature is exchange-native or broker-side,
• which asset classes support it,
• and how long the instruction stays active.

EU and UK

Relevant themes generally include:

• client order handling obligations,
• best execution,
• venue-specific order support,
• and MiFID-style transparency and suitability expectations.

Practical points:

• Support and naming can vary by venue and broker.
• Trigger rules, after-hours treatment, and GTC duration may differ.
• Retail disclosures should be reviewed carefully.

Global / International Usage

Across international and OTC platforms:

• “Market if touched” may be common in forex or CFD environments,
• but the platform agreement often defines the true mechanics,
• including weekend reopening behavior, gap treatment, and reference price.

Compliance requirements

From a practical compliance perspective, firms typically care about:

• clear customer disclosure,
• system controls for stale GTC orders,
• monitoring around corporate actions,
• documentation of trigger logic,
• and supervision of order handling.

Accounting standards

This term has no special accounting-standard treatment by itself. Accounting relevance arises only after the trade executes and becomes part of normal transaction records.

Taxation angle

There is no unique tax rule tied to “MIT GTC” as an order type. Tax treatment generally depends on:

• the executed transaction,
• the holding period,
• the instrument traded,
• and the jurisdiction.

Public policy impact

The policy balance is straightforward:

• traders want flexible order choices,
• regulators want understandable, fairly handled, properly supervised order types.

14. Stakeholder Perspective

Student

A student should understand this as a conditional order plus time-in-force concept. The main exam risk is mixing it up with stop orders or limit orders.

Business Owner

A business owner usually encounters this only if the firm has:

• a treasury investment function,
• an employee share management process,
• or a hedging desk.

For most operating businesses, it is not a core term.

Accountant

This is not an accounting concept. The accountant’s interest begins after the trade executes and must be recorded, reconciled, and reported.

Investor

For investors, MIT GTC is a tool for:

• buying on pullbacks,
• selling on rallies,
• automating planned actions,
• and reducing screen time.

The biggest investor risk is stale orders.

Banker / Lender

This term has limited relevance in traditional lending. It is more relevant to:

• sales and trading desks,
• prime brokerage,
• collateral liquidation operations,
• or treasury market functions.

Analyst

An analyst may assess:

• whether MIT was the right order type,
• execution quality,
• trigger placement,
• slippage,
• and whether the order should have been a limit-based instruction instead.

Policymaker / Regulator

A regulator views MIT GTC through the lens of:

• investor understanding,
• fair order handling,
• system controls,
• disclosure quality,
• and supervisory oversight.

15. Benefits, Importance, and Strategic Value

Why it is important

A Market-if-touched Order GTC is useful because it combines:

• price planning through a trigger, and
• time flexibility through GTC validity.

Value to decision-making

It helps traders answer two questions:

1. At what price should action begin?
2. How long should the instruction stay alive?

Impact on planning

It supports structured trade planning by letting traders predefine:

• entry levels,
• exit levels,
• trade size,
• and duration.

Impact on performance

When used well, it can:

• reduce missed opportunities,

• improve discipline,